DEVELOPMENT... OpenML
Run
167039

Run 167039

Task 3857 (Supervised Classification) vehicle Uploaded 18-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I80
weka.MultiBoostAB_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.9661
Per class
F measure
0.9305
Per class
Kappa
0.8158
KB relative information score
634.7958
Mean absolute error
0.0926
Mean prior absolute error
0.3828
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9306
Per class
Predictive accuracy
0.9314
Prior entropy
0.8241
Recall
0.9314
Per class
Relative absolute error
0.2419
Root mean prior squared error
0.4374
Root mean squared error
0.2354
Root relative squared error
0.5381
SciMark benchmark
945.6434
UserCPU time millis
1540
UserCPU time millis testing
460
UserCPU time millis training
1080